Senior Software Engineering Manager

Minimum qualifications:

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
• 5 years of experience in a technical leadership role, overseeing projects.
• 3 years of experience in a people management, supervision/team leadership role.

Preferred qualifications:

• Experience in kernel programming, kernel drivers, virtual machines, virtualization, software architecture, and storage.

About the job

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

Google Compute Engine (GCE) powers millions of customers worldwide with Infrastructure as a Service (IaaS). We are seeking a leader to lead our dynamic team in India, focusing on innovation in virtualized storage, networking, telemetry, and workload management.

In this critical role, you will lead the development of high-performance computing, accelerators, and infrastructure that supports the AI/ML/High Performance Computing (HPC) workloads. Your role requires experince in distributed systems, large-scale data processing, and low-level system architecture. You will also have experience with CPUs, memory, storage, and virtualization stacks.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Scale the team to develop world's most performant and reliable compute and AI infra.
• Provide a long-term goal to build a virtual machine (VM) performance team to provide high computing VM families. Own the responsibility of enabling the technology to deliver the VM families, ensuring their availability, reliability, and performance. Work closely with partner teams to realize the goal.
• Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.
• Develop the mid-term technical goal and roadmap within the scope of your (often multiple) team(s). Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
• Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems.